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Libérons les données !

Il me parait tous les jours plus clair que nos amis les données veulent partir en vacance. Ce besoin de voyage est d’autant plus fort que le coût d’un trajet numérique Boston / Bangalore tend vers zéro. Et puis après tout, n’est ce pas dans notre nature de partager, copier, diffuser l’information ? Je crois profondément que nous sommes à l’aube d’une ère nouvelle. Malheureusement (heureusement?) Le monde change vite, trop vite. Et dans tout ça. Pour compléter cet article j’ai republié cet excellent reportage: La discussion est ouverte. share

20 Visualisations Données Criminalité (USA) There's a lot of crime data. For almost every reported crime, there's a paper or digital record of it somewhere, which means hundreds of thousands of data points - number of thefts, break-ins, assaults, and homicides as well as where and when the incidents occurred. With all this data it's no surprise that the NYPD (and more recently, the LAPD) took a liking to COMPSTAT, an accountability management system driven by data. While a lot of this crime data is kept confidential to respect people's privacy, there's still plenty of publicly available records. Here we take a look at twenty visualization examples that explore this data. General Crime Oakland Crimespotting. CrimeReports. Everyblock. San Francisco crime map. Mount Fear. London crime mapping. London Profiler. Homicides New York Homicides Map. Murder in New York. New York Daily Gun Deaths. Murders map. SpotCrime. Criminals Tampa Bay Mugshots. Flash Face. Victims Bernie Madoff Victim Map. Los Angeles Times Homicide Map. Government

Semantic Web: Difficulties with the Classic Approach Summary: The original vision of the semantic web as a layer on top of the current web, annotated in a way that computers can "understand," is certainly grandiose and intriguing. Yet, for the past decade it has been a kind of academic exercise rather than a practical technology. This article explores why; and what we can do about it. Update: Part 2 is available now Top-Down: A New Approach to the Semantic Web The semantic web is a vision pioneered by Sir Tim Berners-Lee, in which information is expressed in a language understood by computers. The purpose of the semantic web is to enable computers to "understand" semantics the way humans do. For example, in a New York Times article, written earlier this year, John Markoff discussed a scenario where you would be able to ask a computer to find you a low budget vacation, keeping in mind that you have a 3 year old child. But while the vision of a semantic web is powerful, it has been a over a decade in making. Classic Semantic Web Review 1.

27 Visualisations comprendre la crise financiere I've said it before, and I'll say it again. If there's anything good that has come out of the financial crisis it's the slew of high-quality graphics to help us understand what's going on. Some visualizations attempt to explain it all while others focus on affected business. Others concentrate on how we, as citizens are affected. Some show those who are responsible. Visual Guides to the Financial Crisis Let's start things off with some comprehensive guides to the financial crisis. 2008 Financial Crisis by Carolyn Aler and Sam Conway A Visual Guide to the Financial Crisis by Jess Bachman Jess from WallStats put this together for the Mint blog. The Global Finanical Crisis by Cypher 13 Where Did All the Money Go? From Feliciano Rahardjo Looks like the beginning of a comic book. A Closer Look at the Global Financial Crisis by Liam Johnstone Economic Meltdown of 2008-2009 by Pei San Ng The Global Money Mess by Karen Ong Crisis of Credit Visualized by Jonathan Jarvis Stimulus vs Bailout Plans

Giant Global Graph | Decentralized Information Group (DIG) Bread Well, it has been a long time since my last post here. So many topics, so little time. Some talks, a couple of Design Issues articles, but no blog posts. To dissipate the worry of expectation of quality, I resolve to lower the bar. So The Graph word has been creeping in. Maybe it is because Net and Web have been used. The Net we normally use as short for Internet, which is the International Information Infrastructure. Simpler, more powerful. Programmers could write at a more abstract level. The word Web we normally use as short for World Wide Web. Also, it allowed unexpected re-use. So the Net and the Web may both be shaped as something mathematicians call a Graph, but they are at different levels. Now, people are making another mental move. Biologists are interested in proteins, drugs, genes. There are cries from the heart (e.g The Open Social Web Bill of Rights) for my friendship, that relationship to another person, to transcend documents and sites. I'll be thinking in the graph.

37 Data-ish Blogs You Should Know About | FlowingData You might not know it, but there are actually a ton of data and visualization blogs out there. I'm a bit of a feed addict subscribing to just about anything with a chart or a mention of statistics on it (and naturally have to do some feed-cleaning every now and then). In a follow up to my short list last year, here are the data-ish blogs, some old and some new, that continue to post interesting stuff. Data and Statistics By the Numbers - Column from The New York Times visual Op-ed columnist, Charles Blow, who also used to be NYT's graphics director.Data Mining - Matthew Hurst, scientist at Microsoft's MSN, also the co-creator of BlogPulse.Statistical Modeling - We might disagree on certain things, but Andrew's blog is one of the few active pure statistics blogs.The Numbers Guy - Data-minded reporting from Carl Bialik of the Wall Street Journal.Basketball Geek - Like statistical analysis and basketball? Statistical/Analytical Visualization Maps Design & Infographics Others Worth Noting

Top-Down: A New Approach to the Semantic Web Earlier this week we wrote about the classic approach to the semantic web and the difficulties with that approach. While the original vision of the layer on top of the current web, which annotates information in a way that is "understandable" by computers, is compelling; there are technical, scientific and business issues that have been difficult to address. One of the technical difficulties that we outlined was the bottom-up nature of the classic semantic web approach. Specifically, each web site needs to annotate information in RDF, OWL, etc. in order for computers to be able to "understand" it. As things stand today, there is little reason for web site owners to do that. But there are alternative approaches. In this post, we will look at the solution that we call the top-down approach to the semantic web, because instead of requiring developers to change or augment the web, this approach leverages and builds on top of current web as-is. Why Do We Need The Semantic Web? Conclusion

Linked Data | Linked Data - Connect Distributed Data across the Zemanta QuickStartGuide - Common Tag From Common Tag Common Tags are defined using RDFa, a standard format for expressing structured data within HTML. This guide was designed to help you get started using the Common Tag format even if you don't know RDFa. The examples can be used as simple cut-and-paste recipes to tag your content using the Common Tag format. Common Tags are not only useful for identifying the concepts covered in your content, but if you reference content elsewhere on the web, Common Tags can be used to indicate the concepts covered in that external content as well. The Common Tag format uses the URIs of concepts defined on the web as a way of anchoring the meaning of Tag objects (Tags). The two databases of structured content used in the examples below are: Freebase - A community managed database of concepts DBPedia - A machine readable version of Wikipedia For the full technical specification of Common Tag, visit the Specification section of the site. Tagging whole documents Tagging an embedded video

Home - Common Tag Scribo Un article de Wikipédia, l'encyclopédie libre. Objectif[modifier | modifier le code] L'objectif est de proposer des algorithmes et outils libres pour l'annotation semi-automatique et collaborative de documents numériques. Financement[modifier | modifier le code] Le projet est financé par l'État et les collectivités territoriales franciliennes dans le cadre du 5e appel à projets lancé par le fonds de compétitivité des entreprises (FCE). Participants au projet[modifier | modifier le code] Retombées[modifier | modifier le code] Les composants réalisés seront intégrés dans les suites logicielles respectives des éditeurs Nuxeo, Proxem et XWiki. Les marchés visés par SCRIBO sont multiples: veille intelligente dans des domaines généraux ou spécialisés (presse, défense, données sismiques, technologies spécifiques, etc.), analyse et routage de documents entrants (courriers, mails etc.), poste de travail sémantique. Sites web[modifier | modifier le code] Partenaires : Portail de l’informatique

Sysomos | Business Intelligence for Social Media Sysomos offers two products, Heartbeat and Media Analysis Platform (MAP), to customers looking for leading-edge social media analytics services. Although Heartbeat and MAP are based on the same underlying technology, they provide different features to meet the needs of different users. Heartbeat is designed for day-to-day monitoring and measurement requirements, while MAP provides an in-depth research tool. Heartbeat: Real-time monitoring of brands and products, with measurable metrics and the ability to engage with key influencers. Heartbeat Pro: Monitoring, measurement, in-depth metrics, key influencers, detailed sentiment for advanced users, and the ability to engage with key influencers. Sysomos MAP: A full-feature analytics service with unlimited access to billions of social media conversations, as well features such as automated sentiment and geo-demographics. MAP is ideal for in-depth research, historical analysis, and the preparation of value-added reports.

Merci Nicolas .l'humanité de l'homme est dans le partage Le futur redevient du coup bien plus intéressant. a bientot !... by mixo Jun 5